Search Results - subject:"Transfer Learning"

Interpolation-free deep learning for meteorological downscaling on unaligned grids across multiple domains with application to wind power

Giroux, Jean-Sébastien; Breton, Simon-Philippe; … - 2024

Persistent link: https://www.econbiz.de/10015073702

Talking fragmentation away : ecoding the "whatever it takes" effect

Baumgärtner, Martin; Zahner, Johannes - In: Economics letters 234 (2024), pp. 1-4

Persistent link: https://www.econbiz.de/10015076012

Crafting clarity : leveraging large language models to decode consumer reviews

Praveen, S. V.; Gajjar, Pranshav; Ray, Rajeev Kumar; … - In: Journal of retailing and consumer services 81 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10015117852

A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images

Hamal, Susmita; Mishra, Bhupesh Kumar; Baldock, Robert; … - In: Decision analytics journal 11 (2024), pp. 1-15

decision trees (DT), as well as transfer learning models such as Convolutional Neural Network (CNN), Visual Geometry Group (VGG …

Persistent link: https://www.econbiz.de/10015107865

Whose inflation rates matter most? A DSGE model and machine learning approach to monetary policy in the Euro area

Stempel, Daniel; Zahner, Johannes - 2023

In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European...

Persistent link: https://www.econbiz.de/10014305045

Whatever it takes to understand a central banker: Embedding their words using neural networks

Baumgärtner, Martin; Zahner, Johannes - 2023

Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we...

Persistent link: https://www.econbiz.de/10014446294

Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets : generic incremental transfer learning approach and multidisciplinary studies

Chui, Kwok Tai; Arya, Varsha; Band, Shahab S.; … - In: Journal of innovation & knowledge : JIK 8 (2023) 2, pp. 1-11

feasible using machine learning models with the advent of transfer learning algorithms. Research initiatives are drawn to the … learning is proposed to yield optimal results in the target model. A multiple rounds multiple incremental transfer learning … can be achieved without the restriction requiring the similarities between datasets. A multiple incremental transfer …

Persistent link: https://www.econbiz.de/10014388552

Whose inflation rates matter most? : a DSGE model and machine learning approach to monetary policy in the Euro area

Stempel, Daniel; Zahner, Johannes - 2023 - This version: May 31, 2023

Persistent link: https://www.econbiz.de/10014299409

An Alzheimer's disease classification model using transfer learning Densenet with embedded healthcare decision support system

Saleh, Ahmad Waleed; Gupta, Gaurav; Khan, Surbhi Bhatia; … - In: Decision analytics journal 9 (2023), pp. 1-20

implementing the DenseNet architecture for classification of AD in three classes. Our approach leverages transfer learning …

Persistent link: https://www.econbiz.de/10014533168

A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images

Qadri, Azam Mehmood; Raza, Ali; Eid, Fatma; Abualigah, … - In: Decision analytics journal 9 (2023), pp. 1-11

Malaria represents a potentially fatal communicable illness triggered by the Plasmodium parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes that carry the infection. This disease has significant and devastating consequences on the health systems of fragile...

Persistent link: https://www.econbiz.de/10014533194